Publications



1- Designing a learning package for image processing algorithm using Viual Basic.Net 2008, for my BSc final year project I developed a windows application for Image processing algorithms using Visual Basic.net 2008

2- Semantic Web Mining Using Fuzzy C-Means Algorithm, for my master disseration I researched about semantic web data analysis by developing an web application using ASP.net with Bootsrap CSS framwork.

3- Mohammed, Wria Mohammed Salih, and Mohamad Mehdi Saraee. "Mining Semantic Web Data Using K-means Clustering Algorithm. 2016


4- Semantic web Mining using Fuzzy C-means algorithm, 2016.



5- Mining XML data using K-means and Manhattan algorithms, 2016

Abstract— over the last two decades, XML has astonishing developed for describing semi-structured data and exchanging data over the web. Thus, applying data mining techniques to XML data has become necessary. K-means clustering is one of the most popular algorithms in the clustering of data mining. Recently, there have been some researches undertaken on the mining XML data. In this paper, applying k-means algorithm, which is one of the clustering algorithms, on XML data is proposed. K-means as an algorithm chooses centroids and then clustering the XML data into groups according to the centroids. The comparison distances between each element vary with every centroid and will make groups of elements together. The closest elements from each others will be in the same group. The distances are measured using the Manhattan algorithm. In this research a specific application has been build, the application allows the user to upload an XML file, choose the target field and select the number of clusters. As a result, the application shows the clusters and centroids used in all of the steps. Index Terms— ASP.net, Centroids, Cluster, Data Mining, K-means, Manhattan, XML. 

 






Journal Papers 
PENDING PUBLICATIONS: